Recognition of OFDM Signals Based on Cyclic Autocorrelation

摘要: For the problem of modulation recognition communication signals,an algorithm based on cyclic autocorrelation is proposed to recognize OFDM signals and single-carrier according cycle-stationarity signals.Then a method wavelet decomposition which combines theory multiresolution analysis with modulated signals' instantaneous characteristics high-order cumulants.What's more,a hierarchical neural network classifier used identify seven kinds as OFDM,2ASK,4ASK,2PSK,4PSK,8PSK,16QAM.The simulation results show that high in performance not sensitive noise.